【摘要】 图像分割是医学图像分析中的重要问题。以前的基于模型的分割算法都是从不特定人群的统计出模型的先验知识。文章提出了一种新的全自动医学图像分割算法.这种方法旨在提出一种基于特定人先验轮廓模型。该模型通过基于流形的学习方法,从而达到更加准确的分割效果。更多还原

【Abstract】 Image segmentation is an important issue in medical image analysis.The previous model-based segmentation algorithm is never priori knowledge of the statistical model of a specific population.This paper proposes a new kind of automatic medical image segmentation,and this approach aims to propose priori contour model based on a specific person,the model based manifold learning methods,so as to achieve more accurate segmentation results.更多还原